code: def deserialize_feature_columns(configs, custom_objects=None):
      """Deserializes a list of FeatureColumns configs.
  
      Returns a list of FeatureColumns given a list of config dicts acquired by
      `serialize_feature_columns`.
  
      Args:
        configs: A list of Dicts with the serialization of feature columns acquired
          by `serialize_feature_columns`.
        custom_objects: A Dict from custom_object name to the associated keras
          serializable objects (FeatureColumns, classes or functions).
  
      Returns:
        FeatureColumn objects corresponding to the input configs.
  
      Raises:
        ValueError if called with input that is not a list of FeatureColumns.
      """
      columns_by_name = {}
      return [
          deserialize_feature_column(c, custom_objects, columns_by_name)
          for c in configs
      ]
  
file_path: tensorflow-upstream/tensorflow/python/feature_column/serialization.py
imports: import six
  from tensorflow.python.feature_column import feature_column_v2_types
  from tensorflow.python.ops import init_ops
  from tensorflow.python.util import deprecation
  from tensorflow.python.util import tf_decorator
  from tensorflow.python.util import tf_inspect
  from tensorflow.python.util.tf_export import tf_export
  from tensorflow.tools.docs import doc_controls
label_desc: Use image node_id 4 for calling a global function with example usage: deserialize_feature_columns(configs, custom_objects) and returns: unknown